On Fri, Oct 9, 2015 at 10:32 PM, Phillip Feldman < phillip.m.feld...@gmail.com> wrote:
> Hello Nathaniel, > > It is hard to say what is normative practice with NumPy, because there are > at least three paradigms: > > (1) Some operations are implemented as methods of the `ndarray` class. > `sum` and `mean` are examples. > > (2) Some operations are implemented via functions that invoke a private > method of the class. `abs` is an example of this: > > In [8]: x= array([1+1J]) > In [9]: x.__abs__() > Out[9]: array([ 1.41421356]) > > (3) Some operations are implemented as functions that operate directly on > the array, e.g., RMS (root-mean-square). > > Because calculating the square of the magnitude is such a widely-used > operation, and is often done in a grossly inefficient manner (e.g., by > taking the absolute value, which involves a square-root, and then > squaring), I believe that there is a strong argument for doing either (1) > or (2). I'd prefer (1). > > We tend to avoid adding methods. 2) would be a very easy enhancement, just a slight modification of sqr. Chuck
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